TY - JOUR
T1 - Comparison of telephone recordings and professional microphone recordings for early detection of Parkinson's disease, using mel-frequency cepstral coefficients with Gaussian mixture models
AU - Jeancolas, Laetitia
AU - Mangone, Graziella
AU - Corvol, Jean Christophe
AU - Vidailhet, Marie
AU - Lehericy, Stéphane
AU - Benkelfat, Badr Eddine
AU - Benali, Habib
AU - Petrovska-Delacretaz, Dijana
N1 - Publisher Copyright:
Copyright © 2019 ISCA
PY - 2019/1/1
Y1 - 2019/1/1
N2 - Vocal impairments are among the earliest symptoms in Parkinson's Disease (PD). We adapted a method classically used in speech and speaker recognition, based on Mel-Frequency Cepstral Coefficients (MFCC) extraction and Gaussian Mixture Model (GMM) to detect recently diagnosed and pharmacologically treated PD patients. We classified early PD subjects from controls with an accuracy of 83%, using recordings obtained with a professional microphone. More interestingly, we were able to classify PD from controls with an accuracy of 75 % based on telephone recordings. As far as we know, this is the first time that audio recordings from telephone network have been used for early PD detection. This is a promising result for a potential future telediagnosis of Parkinson's disease.
AB - Vocal impairments are among the earliest symptoms in Parkinson's Disease (PD). We adapted a method classically used in speech and speaker recognition, based on Mel-Frequency Cepstral Coefficients (MFCC) extraction and Gaussian Mixture Model (GMM) to detect recently diagnosed and pharmacologically treated PD patients. We classified early PD subjects from controls with an accuracy of 83%, using recordings obtained with a professional microphone. More interestingly, we were able to classify PD from controls with an accuracy of 75 % based on telephone recordings. As far as we know, this is the first time that audio recordings from telephone network have been used for early PD detection. This is a promising result for a potential future telediagnosis of Parkinson's disease.
KW - Acoustic analysis
KW - Parkinson's disease
KW - Speech disorder
KW - Telediagnosis
KW - Telephone recordings
U2 - 10.21437/Interspeech.2019-2825
DO - 10.21437/Interspeech.2019-2825
M3 - Conference article
AN - SCOPUS:85074694606
SN - 2308-457X
VL - 2019-September
SP - 3033
EP - 3037
JO - Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH
JF - Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH
T2 - 20th Annual Conference of the International Speech Communication Association: Crossroads of Speech and Language, INTERSPEECH 2019
Y2 - 15 September 2019 through 19 September 2019
ER -
